Lead Machine Learning Engineer (Safety)
Core
Drive technical strategy, architecture, and deployment of secure, scalable AI systems and multi-agent frameworks for high-stakes domains like government, finance, and defence.
Role type
Lead Machine Learning Engineer (Safety)
Builds
Production-grade secure ML software, orchestration tools, scalable cloud infrastructure, and safety evaluation frameworks.
Domain
AI Safety, Multi-agent Systems, Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM application design, multi-agent framework development, AI safety evaluation, Python, cloud platforms (AWS/Azure/GCP), container orchestration (Docker/Kubernetes), cybersecurity, PyTorch/TensorFlow
Preferred skills
Strategic leadership, cross-functional collaboration, mentoring engineering talent, persuasive communication with senior stakeholders
Technologies
Python, PyTorch, TensorFlow, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Steer technical strategy and system architecture for complex ML systems; Architect production-grade secure ML software and cloud infrastructure; Establish company-wide standards for safe ML deployment; Collaborate with stakeholders to translate client needs into AI solutions; Advise senior clients as an AI safety authority; Mentor engineering talent and elevate team capabilities
Seniority
Senior, hands-on IC with leadership responsibilities
